Search "+Peter Norvig +Automated machine learning +Paradox +Travelling salesman problem +Boosting (machine learning) +Machine learning +Information theory +IPython notebook +Class imbalance +Rob Schapire +Learning -Poker +Ron Meir +Cross entropy -Yoav Freund -Deep learning"

Positive matches

• 0.062 + - Lexical feature selection
• 0.060 + - Class imbalance problem
• 0.051 + - Probability, Paradox, and the Reasonable Person Principle
• 0.031 + - Simpson's paradox
• 0.025 + - Pointwise mutual information
• 0.021 + - Jupyter/notebook
• 0.019 + - Probability
• 0.016 + - How to study
• 0.016 + - Michael Ramscar
• 0.013 + - SSH tunneling
• 0.012 + - Gradient descent
• 0.012 + - IPython
• 0.011 + - Data science
• 0.011 + - Python
• 0.009 + - Information Theory, Inference, and Learning Algorithms
• 0.009 + - David MacKay
• 0.009 + - David Feldman
• 0.008 + - Gibbs' inequality
• 0.008 + - Kullback–Leibler divergence
• 0.008 + - Kevin Murphy

Negative matches

• 0.015 + - Language
• 0.005 + - Amazon EC2
• 0.004 + - Reinforcement learning
• 0.004 + - LSTM
• 0.003 + - Residual leanrning
• 0.003 + - Paper/Hochreiter1997
• 0.003 + - Attention
• 0.003 + - Evolution strategy
• 0.002 + - Amazon Web Services
• 0.002 + - Geoffrey Hinton
• 0.002 + - Deep learning and graphs
• 0.002 + - Amazon Elastic Compute Cloud
• 0.002 + - Long short-term memory
• 0.002 + - Generative adversarial networks
• 0.002 + - Yann LeCun
• 0.002 + - Paper/Gatys2015
• 0.002 + - Dropout
• 0.002 + - Beer
• 0.002 + - Sentiment analysis
• 0.002 + - Attention (Deep learning)